| 大型电站分布式智能诊断系统的结构与协调方法 |
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| 引用本文： | 蒋东翔,倪维斗.大型电站分布式智能诊断系统的结构与协调方法[J].清华大学学报(自然科学版),1996(7). |
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| 作者姓名： | 蒋东翔 倪维斗 |
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| 作者单位： | 清华大学热能工程系 |
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| 基金项目： | 国家“攀登B”计划,国家“八五”科技攻关项目 |
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| 摘 要： | 把分布式人工智能应用到大型电站设备故障诊断问题之中，提出了大型电站分布式智能监测与诊断系统的基本结构，它可以把不同的故障诊断推理方法有机地结合起来运用，并介绍了采用多层黑板结构模型的协调与通讯方法，最后给出了大型电站热力系统状态监测和汽轮发电机组振动故障诊断的应用实例
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| 关 键 词： | 故障诊断 智能系统 分布式人工智能 大型电站 |
Architecture and cooperation of a distributed intelligent diagnostic system for large scale power plants |
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| Jiang Dongxiang,Ni Weidou.Architecture and cooperation of a distributed intelligent diagnostic system for large scale power plants[J].Journal of Tsinghua University(Science and Technology),1996(7). |
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| Authors: | Jiang Dongxiang Ni Weidou |
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| Institution: | Jiang Dongxiang,Ni Weidou Department of Thermal Engineering,Tsinghua University |
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| Abstract: | Application of distributed artificial intelligence (DAI) to fault diagnosis is a state of the art technology for increasing availiability of large scale power plants. A basic architecture of a distributed intelligent monitoring and diagnostic system for large scale power plants is proposed. It can integrate different diagnostic reasoning paradigm. The strategies and methods of cooperation and communication among distributed subsystem based on multiple level blackboard are discussed. Condition monitoring for thermal system and vibration diagnosis for steam turbine generator are illustrated as two examples. |
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| Keywords: | fault diagnosis intelligent systems distributed artificial intelligence (DAI) large scale power plants |
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